Information you need to win
S p o r t s D a t a b a s e . c o m
tools    for    the    objective    handicapper


name
password


NHL Trends SDB Home    NHL Trends    NHL Query
Include trends from SDB's sample ml against SDB's sample ml on SDB's sample ou against SDB's sample ou on SDB's sample su active on filter on
Trends from SDB's sample ou against,SDB's sample ou on,SDB's sample ou against,SDB's sample ou on
$ ROI Margin wins losses % link
1460 14.6 0.2 36 46 43.9 The Flyers are 36-46-18 AGAINST since Mar 08, 2007 as a home dog
6990 6.8 0.3 489 468 51.1 The Flyers are 489-468-70 ON since Oct 28, 2006
4700 9.4 0.4 250 228 52.3 The Flyers are 250-228-23 ON since Oct 24, 2007 as a favorite
4170 11.2 0.4 187 164 53.3 The Flyers are 187-164-20 ON since Nov 10, 2007 as a home favorite
4110 13.0 0.3 161 136 54.2 The Flyers are 161-136-20 ON since Dec 15, 2010 on the road
1210 12.5 0.5 51 44 53.7 The Flyers are 51-44-2 ON since Feb 13, 2010 as a road favorite

Trend Parameters: active, english, invested, losses, margin, profit, pushes, sdql, start, team, wins


How To Use the Trends Page:
Use the Pythonic Query Language to explore a database of trends. The full PyQL format is: parameters @ conditions. More typical use just specifies the condition and takes a default output.

To see all trends with an average margin of at least 2 use the PyQL condition: margin > 2.

To see all perfect trends use the PyQL: wins * losses = 0
e-mail links:   Content@SportsDataBase.com    Support@SportsDataBase.com   
Content for this site is generated using the Sports Data Query Language (SDQL).